Overview

Brought to you by YData

Dataset statistics

Number of variables13
Number of observations100546
Missing cells21
Missing cells (%)< 0.1%
Duplicate rows621
Duplicate rows (%)0.6%
Total size in memory10.0 MiB
Average record size in memory104.0 B

Variable types

Text3
Numeric7
Categorical2
DateTime1

Alerts

Dataset has 621 (0.6%) duplicate rowsDuplicates
Breadth is highly overall correlated with DepthHigh correlation
Depth is highly overall correlated with BreadthHigh correlation
has_images is highly imbalanced (76.6%) Imbalance
Helpfulness is highly skewed (γ1 = 100.6095705) Skewed
Helpfulness has 90721 (90.2%) zeros Zeros

Reproduction

Analysis started2025-01-08 14:54:37.398206
Analysis finished2025-01-08 14:54:46.937770
Duration9.54 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:47.090852image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length199
Median length166
Mean length134.63302
Min length37

Characters and Unicode

Total characters13536812
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPanasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.8
2nd rowPanasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.8
3rd rowPanasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.8
4th rowPanasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.8
5th rowPanasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.8
ValueCountFrequency (%)
79565
 
3.6%
with 56855
 
2.6%
for 47794
 
2.2%
to 40663
 
1.9%
and 40638
 
1.9%
tv 31423
 
1.4%
wireless 27714
 
1.3%
black 25011
 
1.1%
ipad 21650
 
1.0%
mount 20281
 
0.9%
Other values (692) 1791239
82.1%
2025-01-08T23:54:47.501686image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2082287
 
15.4%
e 918981
 
6.8%
o 726203
 
5.4%
a 695006
 
5.1%
t 683380
 
5.0%
i 652221
 
4.8%
r 594517
 
4.4%
n 505608
 
3.7%
l 460201
 
3.4%
s 387539
 
2.9%
Other values (69) 5830869
43.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13536812
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2082287
 
15.4%
e 918981
 
6.8%
o 726203
 
5.4%
a 695006
 
5.1%
t 683380
 
5.0%
i 652221
 
4.8%
r 594517
 
4.4%
n 505608
 
3.7%
l 460201
 
3.4%
s 387539
 
2.9%
Other values (69) 5830869
43.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13536812
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2082287
 
15.4%
e 918981
 
6.8%
o 726203
 
5.4%
a 695006
 
5.1%
t 683380
 
5.0%
i 652221
 
4.8%
r 594517
 
4.4%
n 505608
 
3.7%
l 460201
 
3.4%
s 387539
 
2.9%
Other values (69) 5830869
43.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13536812
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2082287
 
15.4%
e 918981
 
6.8%
o 726203
 
5.4%
a 695006
 
5.1%
t 683380
 
5.0%
i 652221
 
4.8%
r 594517
 
4.4%
n 505608
 
3.7%
l 460201
 
3.4%
s 387539
 
2.9%
Other values (69) 5830869
43.1%

Average_rating
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5060967
Minimum3.8
Maximum4.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:47.606784image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4
Q14.4
median4.6
Q34.7
95-th percentile4.8
Maximum4.9
Range1.1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.22980602
Coefficient of variation (CV)0.050998911
Kurtosis1.1680101
Mean4.5060967
Median Absolute Deviation (MAD)0.1
Skewness-1.2244219
Sum453070
Variance0.052810808
MonotonicityNot monotonic
2025-01-08T23:54:47.675992image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.6 29307
29.1%
4.7 22471
22.3%
4.5 13457
13.4%
4.3 11703
 
11.6%
4.4 6320
 
6.3%
4.8 4635
 
4.6%
3.9 3207
 
3.2%
4.1 2824
 
2.8%
4.2 2651
 
2.6%
3.8 1800
 
1.8%
Other values (2) 2171
 
2.2%
ValueCountFrequency (%)
3.8 1800
 
1.8%
3.9 3207
 
3.2%
4 1099
 
1.1%
4.1 2824
 
2.8%
4.2 2651
 
2.6%
4.3 11703
 
11.6%
4.4 6320
 
6.3%
4.5 13457
13.4%
4.6 29307
29.1%
4.7 22471
22.3%
ValueCountFrequency (%)
4.9 1072
 
1.1%
4.8 4635
 
4.6%
4.7 22471
22.3%
4.6 29307
29.1%
4.5 13457
13.4%
4.4 6320
 
6.3%
4.3 11703
 
11.6%
4.2 2651
 
2.6%
4.1 2824
 
2.8%
4 1099
 
1.1%

Num_of_Rating
Real number (ℝ)

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50144.245
Minimum15398
Maximum223181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:47.757322image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum15398
5-th percentile16453
Q121988
median36537
Q362436
95-th percentile122681
Maximum223181
Range207783
Interquartile range (IQR)40448

Descriptive statistics

Standard deviation40761.51
Coefficient of variation (CV)0.81288511
Kurtosis5.1536465
Mean50144.245
Median Absolute Deviation (MAD)16550
Skewness2.1265574
Sum5.0418033 × 109
Variance1.6615007 × 109
MonotonicityNot monotonic
2025-01-08T23:54:47.841381image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110444 1923
 
1.9%
33336 1907
 
1.9%
76290 1800
 
1.8%
104579 1707
 
1.7%
24205 1632
 
1.6%
33087 1606
 
1.6%
18908 1575
 
1.6%
119789 1574
 
1.6%
201075 1528
 
1.5%
64529 1521
 
1.5%
Other values (67) 83773
83.3%
ValueCountFrequency (%)
15398 1018
1.0%
15469 1066
1.1%
16023 1170
1.2%
16085 1434
1.4%
16453 1099
1.1%
17206 1419
1.4%
17230 985
1.0%
17318 1072
1.1%
18061 998
1.0%
18244 1385
1.4%
ValueCountFrequency (%)
223181 1326
1.3%
201075 1528
1.5%
148591 1102
1.1%
122681 1263
1.3%
119789 1574
1.6%
110468 1284
1.3%
110444 1923
1.9%
104579 1707
1.7%
100244 1510
1.5%
85201 974
1.0%

Rating
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size785.6 KiB
5
68151 
1
12399 
4
9345 
3
 
5890
2
 
4761

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters100546
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row3
4th row5
5th row1

Common Values

ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%

Length

2025-01-08T23:54:47.916835image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-08T23:54:47.988688image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%

Most occurring characters

ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 68151
67.8%
1 12399
 
12.3%
4 9345
 
9.3%
3 5890
 
5.9%
2 4761
 
4.7%
Distinct64697
Distinct (%)64.4%
Missing21
Missing (%)< 0.1%
Memory size785.6 KiB
2025-01-08T23:54:48.131249image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length100
Median length87
Mean length22.170246
Min length1

Characters and Unicode

Total characters2228664
Distinct characters270
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59012 ?
Unique (%)58.7%

Sample

1st rowIt's a good product
2nd rownothing came in?
3rd rowGreat for basement or garage use.
4th rowPROS/CONS Good things come in SMALL packages!
5th rowDoesn’t pick up well
ValueCountFrequency (%)
great 18015
 
4.5%
good 10110
 
2.5%
for 9717
 
2.4%
works 9399
 
2.3%
the 9136
 
2.3%
it 7774
 
1.9%
to 7612
 
1.9%
and 6597
 
1.6%
a 6229
 
1.5%
not 6175
 
1.5%
Other values (13021) 311269
77.4%
2025-01-08T23:54:48.400766image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302776
 
13.6%
e 212669
 
9.5%
t 164005
 
7.4%
o 160708
 
7.2%
r 128203
 
5.8%
a 127140
 
5.7%
s 104927
 
4.7%
i 96108
 
4.3%
n 88868
 
4.0%
d 75591
 
3.4%
Other values (260) 767669
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2228664
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
302776
 
13.6%
e 212669
 
9.5%
t 164005
 
7.4%
o 160708
 
7.2%
r 128203
 
5.8%
a 127140
 
5.7%
s 104927
 
4.7%
i 96108
 
4.3%
n 88868
 
4.0%
d 75591
 
3.4%
Other values (260) 767669
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2228664
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
302776
 
13.6%
e 212669
 
9.5%
t 164005
 
7.4%
o 160708
 
7.2%
r 128203
 
5.8%
a 127140
 
5.7%
s 104927
 
4.7%
i 96108
 
4.3%
n 88868
 
4.0%
d 75591
 
3.4%
Other values (260) 767669
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2228664
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
302776
 
13.6%
e 212669
 
9.5%
t 164005
 
7.4%
o 160708
 
7.2%
r 128203
 
5.8%
a 127140
 
5.7%
s 104927
 
4.7%
i 96108
 
4.3%
n 88868
 
4.0%
d 75591
 
3.4%
Other values (260) 767669
34.4%
Distinct93756
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:48.606577image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length6427
Median length2222
Mean length174.2272
Min length3

Characters and Unicode

Total characters17517848
Distinct characters372
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92152 ?
Unique (%)91.7%

Sample

1st rowThis radio was perfect for my father. He's older (in his 80s) and he wanted a simple transistor radio for the bathroom that runs on batteries. He didn't want anything too fancy or expensive. This fits the bill.
2nd rowI couldn't get any stations in , worthless to me. YouTube videos why I bought it{: buyer beware!
3rd rowThis affordable radio is perfect for my needs. Yet, I miss the quality from the higher end Sony portable. Sorry, the sound is a bit tinny. Yet, I am a fan of the controls, display and design. Good value.
4th rowPROS and CONS and why I chose this one. The story:My mother still lives in independent living with her older sister (she's turning 90, her sister 92).She couldn't get visitors for her birthday because all independent and assisted living places are on lockdown with what's going on.SO I had to find something EASY for her to set up on her own, that was small for her bedside table, and would be a good-sounding radio. EUREKA!PROS:PACKAGING - I was concerned re how it would arrive, but my mother said it was in heavy foam packaging. Came in perfect condition.SIZE - PERFECT SMALL RADIO for her night stand. MUCH smaller than the 22 inch dimensions it shows in top description! It's small enough for a SMALL nightstand.SET UP - MY mother had no problem setting it up or figuring out knobs. This is as easy as radios from the '60's. Basically a couple knobs and a switch to go back and forth between AM and FMSOUND - I was on the phone with my mother as she dialed through various stations and GREAT sound. She was delighted and said, HEAR THIS!PRICE - CAN'T BEAT THE PRICE!
5th rowWaste of money,,,,, can’t get stations on this radio as clear as others
ValueCountFrequency (%)
the 147216
 
4.5%
i 100379
 
3.1%
to 97794
 
3.0%
and 92903
 
2.8%
it 85406
 
2.6%
a 75927
 
2.3%
for 50908
 
1.6%
this 50564
 
1.5%
is 49124
 
1.5%
my 48256
 
1.5%
Other values (57100) 2475497
75.6%
2025-01-08T23:54:48.910278image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3217730
18.4%
e 1593921
 
9.1%
t 1319973
 
7.5%
o 1095802
 
6.3%
a 996978
 
5.7%
s 860341
 
4.9%
i 856292
 
4.9%
n 826336
 
4.7%
r 764658
 
4.4%
h 637127
 
3.6%
Other values (362) 5348690
30.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17517848
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3217730
18.4%
e 1593921
 
9.1%
t 1319973
 
7.5%
o 1095802
 
6.3%
a 996978
 
5.7%
s 860341
 
4.9%
i 856292
 
4.9%
n 826336
 
4.7%
r 764658
 
4.4%
h 637127
 
3.6%
Other values (362) 5348690
30.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17517848
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3217730
18.4%
e 1593921
 
9.1%
t 1319973
 
7.5%
o 1095802
 
6.3%
a 996978
 
5.7%
s 860341
 
4.9%
i 856292
 
4.9%
n 826336
 
4.7%
r 764658
 
4.4%
h 637127
 
3.6%
Other values (362) 5348690
30.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17517848
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3217730
18.4%
e 1593921
 
9.1%
t 1319973
 
7.5%
o 1095802
 
6.3%
a 996978
 
5.7%
s 860341
 
4.9%
i 856292
 
4.9%
n 826336
 
4.7%
r 764658
 
4.4%
h 637127
 
3.6%
Other values (362) 5348690
30.5%
Distinct1309
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size785.6 KiB
Minimum2020-01-01 00:00:00
Maximum2023-08-25 00:00:00
2025-01-08T23:54:49.021942image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:49.112621image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Helpfulness
Real number (ℝ)

Skewed  Zeros 

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22292284
Minimum0
Maximum589
Zeros90721
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:49.198492image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum589
Range589
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0680699
Coefficient of variation (CV)13.762923
Kurtosis15480.844
Mean0.22292284
Median Absolute Deviation (MAD)0
Skewness100.60957
Sum22414
Variance9.4130529
MonotonicityNot monotonic
2025-01-08T23:54:49.285850image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90721
90.2%
1 7121
 
7.1%
2 1308
 
1.3%
3 475
 
0.5%
4 263
 
0.3%
5 159
 
0.2%
6 92
 
0.1%
7 79
 
0.1%
8 50
 
< 0.1%
9 36
 
< 0.1%
Other values (56) 242
 
0.2%
ValueCountFrequency (%)
0 90721
90.2%
1 7121
 
7.1%
2 1308
 
1.3%
3 475
 
0.5%
4 263
 
0.3%
5 159
 
0.2%
6 92
 
0.1%
7 79
 
0.1%
8 50
 
< 0.1%
9 36
 
< 0.1%
ValueCountFrequency (%)
589 1
< 0.1%
283 1
< 0.1%
243 1
< 0.1%
235 1
< 0.1%
189 1
< 0.1%
174 1
< 0.1%
136 1
< 0.1%
132 1
< 0.1%
118 1
< 0.1%
117 1
< 0.1%

has_images
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size785.6 KiB
0
96712 
1
 
3834

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters100546
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

Length

2025-01-08T23:54:49.367466image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-08T23:54:49.425896image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

Most occurring characters

ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 100546
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 96712
96.2%
1 3834
 
3.8%

price
Real number (ℝ)

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.920972
Minimum5.99
Maximum175.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:49.495705image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum5.99
5-th percentile6.99
Q111.99
median19.99
Q335.99
95-th percentile87.14
Maximum175.99
Range170
Interquartile range (IQR)24

Descriptive statistics

Standard deviation27.900296
Coefficient of variation (CV)0.9647081
Kurtosis9.2843544
Mean28.920972
Median Absolute Deviation (MAD)10
Skewness2.7020767
Sum2907888.1
Variance778.42654
MonotonicityNot monotonic
2025-01-08T23:54:49.587074image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.99 8253
 
8.2%
13.99 5693
 
5.7%
29.99 4386
 
4.4%
11.99 3937
 
3.9%
9.99 3888
 
3.9%
15.99 3636
 
3.6%
23.99 2875
 
2.9%
37.99 2771
 
2.8%
39.99 2665
 
2.7%
8.97 2573
 
2.6%
Other values (43) 59869
59.5%
ValueCountFrequency (%)
5.99 1380
1.4%
6.36 1080
1.1%
6.44 1256
1.2%
6.99 2212
2.2%
7.82 1119
1.1%
7.95 1574
1.6%
7.99 1289
1.3%
8.54 1132
1.1%
8.97 2573
2.6%
8.99 2129
2.1%
ValueCountFrequency (%)
175.99 1246
1.2%
118 1434
1.4%
101 1418
1.4%
87.14 1122
1.1%
79.99 1396
1.4%
74.95 1072
1.1%
59.9 1800
1.8%
57 1240
1.2%
55.96 1472
1.5%
51 1326
1.3%

Day_elapsed
Real number (ℝ)

Distinct1333
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean737.21925
Minimum0
Maximum1332
Zeros81
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:49.677659image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1478
median785
Q31024
95-th percentile1191
Maximum1332
Range1332
Interquartile range (IQR)546

Descriptive statistics

Standard deviation339.23437
Coefficient of variation (CV)0.46015398
Kurtosis-0.91029437
Mean737.21925
Median Absolute Deviation (MAD)263
Skewness-0.38394896
Sum74124447
Variance115079.96
MonotonicityNot monotonic
2025-01-08T23:54:49.770359image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1167 175
 
0.2%
1159 173
 
0.2%
1157 173
 
0.2%
1164 169
 
0.2%
1177 165
 
0.2%
1166 162
 
0.2%
1183 159
 
0.2%
1160 158
 
0.2%
1171 157
 
0.2%
1161 156
 
0.2%
Other values (1323) 98899
98.4%
ValueCountFrequency (%)
0 81
0.1%
1 12
 
< 0.1%
2 12
 
< 0.1%
3 11
 
< 0.1%
4 10
 
< 0.1%
5 14
 
< 0.1%
6 24
 
< 0.1%
7 20
 
< 0.1%
8 23
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
1332 3
 
< 0.1%
1331 2
 
< 0.1%
1330 10
< 0.1%
1329 7
< 0.1%
1328 4
 
< 0.1%
1327 7
< 0.1%
1326 11
< 0.1%
1325 11
< 0.1%
1324 12
< 0.1%
1323 10
< 0.1%

Depth
Real number (ℝ)

High correlation 

Distinct93756
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9569202
Minimum0.18113804
Maximum4.3214902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:49.876539image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.18113804
5-th percentile2.4002811
Q14.0041718
median4.2322677
Q34.2887553
95-th percentile4.3159295
Maximum4.3214902
Range4.1403522
Interquartile range (IQR)0.28458352

Descriptive statistics

Standard deviation0.65978657
Coefficient of variation (CV)0.16674245
Kurtosis8.0081811
Mean3.9569202
Median Absolute Deviation (MAD)0.0720534
Skewness-2.7953729
Sum397852.49
Variance0.43531832
MonotonicityNot monotonic
2025-01-08T23:54:49.963965image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.273101611 23
 
< 0.1%
4.318663735 20
 
< 0.1%
4.290921465 19
 
< 0.1%
4.317779386 19
 
< 0.1%
4.298972263 19
 
< 0.1%
4.310507836 18
 
< 0.1%
4.303439306 18
 
< 0.1%
4.291588598 18
 
< 0.1%
4.277727861 17
 
< 0.1%
4.307952272 17
 
< 0.1%
Other values (93746) 100358
99.8%
ValueCountFrequency (%)
0.1811380363 1
< 0.1%
0.195609758 1
< 0.1%
0.1959664457 1
< 0.1%
0.2019031903 1
< 0.1%
0.2095530723 1
< 0.1%
0.2356032819 1
< 0.1%
0.2356748779 1
< 0.1%
0.2397210457 1
< 0.1%
0.2504254172 1
< 0.1%
0.260265082 2
< 0.1%
ValueCountFrequency (%)
4.321490188 1
 
< 0.1%
4.321467474 1
 
< 0.1%
4.321467059 1
 
< 0.1%
4.321464624 1
 
< 0.1%
4.321454984 1
 
< 0.1%
4.321444845 1
 
< 0.1%
4.321443898 5
< 0.1%
4.321438409 2
 
< 0.1%
4.321426897 1
 
< 0.1%
4.32142558 1
 
< 0.1%

Breadth
Real number (ℝ)

High correlation 

Distinct93756
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27927443
Minimum0.00011349525
Maximum6.2690249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size785.6 KiB
2025-01-08T23:54:50.047904image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.00011349525
5-th percentile0.0048624337
Q10.032626549
median0.099951891
Q30.2693301
95-th percentile1.3238838
Maximum6.2690249
Range6.2689114
Interquartile range (IQR)0.23670355

Descriptive statistics

Standard deviation0.49109246
Coefficient of variation (CV)1.7584584
Kurtosis14.599566
Mean0.27927443
Median Absolute Deviation (MAD)0.081620212
Skewness3.4320258
Sum28079.927
Variance0.24117181
MonotonicityNot monotonic
2025-01-08T23:54:50.211274image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04137111126 23
 
< 0.1%
0.003816266381 20
 
< 0.1%
0.01563675837 19
 
< 0.1%
0.006590952765 19
 
< 0.1%
0.01756635994 19
 
< 0.1%
0.003117152098 18
 
< 0.1%
0.004713488253 18
 
< 0.1%
0.01516462458 18
 
< 0.1%
0.01261032003 17
 
< 0.1%
0.001704495921 17
 
< 0.1%
Other values (93746) 100358
99.8%
ValueCountFrequency (%)
0.0001134952549 1
 
< 0.1%
0.0001294938871 1
 
< 0.1%
0.000181449081 1
 
< 0.1%
0.0001823311328 2
< 0.1%
0.0001858577456 1
 
< 0.1%
0.0001900435651 2
< 0.1%
0.0001983114224 1
 
< 0.1%
0.0001990054674 1
 
< 0.1%
0.0001999966986 2
< 0.1%
0.0002020018611 3
< 0.1%
ValueCountFrequency (%)
6.269024894 1
< 0.1%
6.082118228 1
< 0.1%
5.304716334 1
< 0.1%
5.277180345 1
< 0.1%
5.223532108 2
< 0.1%
5.212169109 1
< 0.1%
5.101373404 1
< 0.1%
5.066834156 1
< 0.1%
4.980958834 1
< 0.1%
4.923113867 1
< 0.1%

Interactions

2025-01-08T23:54:45.880943image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:42.933537image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.479861image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.984978image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.454997image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.943870image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.427338image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.949378image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.030117image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.603634image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.055710image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.523352image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.013642image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.492257image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:46.011079image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.112172image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.661327image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.117528image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.587306image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.079433image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.551967image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:46.080748image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.216428image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.725630image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.184819image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.654834image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.152646image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.618171image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:46.152243image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.285136image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.791132image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.253211image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.727393image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.223505image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.688636image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:46.227171image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.352635image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.857961image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.321775image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.804424image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.290670image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.755415image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:46.291267image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.413940image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:43.918098image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.385445image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:44.874386image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.357851image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-08T23:54:45.817051image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-01-08T23:54:50.274033image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Average_ratingBreadthDay_elapsedDepthHelpfulnessNum_of_RatingRatinghas_imagesprice
Average_rating1.000-0.1250.0780.121-0.0280.2160.1230.081-0.009
Breadth-0.1251.0000.021-0.8930.137-0.1690.0790.0640.191
Day_elapsed0.0780.0211.000-0.011-0.088-0.1480.0380.035-0.015
Depth0.121-0.893-0.0111.000-0.1430.1680.0790.055-0.182
Helpfulness-0.0280.137-0.088-0.1431.000-0.0210.0030.0300.053
Num_of_Rating0.216-0.169-0.1480.168-0.0211.0000.0520.031-0.061
Rating0.1230.0790.0380.0790.0030.0521.0000.0210.076
has_images0.0810.0640.0350.0550.0300.0310.0211.0000.076
price-0.0090.191-0.015-0.1820.053-0.0610.0760.0761.000

Missing values

2025-01-08T23:54:46.402455image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-01-08T23:54:46.601715image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

product_nameAverage_ratingNum_of_RatingRatingreview_titleReview_TextPosted_DateHelpfulnesshas_imagespriceDay_elapsedDepthBreadth
0Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276185It's a good productThis radio was perfect for my father. He's older (in his 80s) and he wanted a simple transistor radio for the bathroom that runs on batteries. He didn't want anything too fancy or expensive. This fits the bill.2022-04-210034.953484.3132510.006232
1Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276181nothing came in?I couldn't get any stations in , worthless to me. YouTube videos why I bought it{: buyer beware!2022-08-290034.952184.3169290.002728
2Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276183Great for basement or garage use.This affordable radio is perfect for my needs. Yet, I miss the quality from the higher end Sony portable. Sorry, the sound is a bit tinny. Yet, I am a fan of the controls, display and design. Good value.2021-07-161034.956274.3145910.006304
3Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276185PROS/CONS Good things come in SMALL packages!PROS and CONS and why I chose this one. The story:My mother still lives in independent living with her older sister (she's turning 90, her sister 92).She couldn't get visitors for her birthday because all independent and assisted living places are on lockdown with what's going on.SO I had to find something EASY for her to set up on her own, that was small for her bedside table, and would be a good-sounding radio. EUREKA!PROS:PACKAGING - I was concerned re how it would arrive, but my mother said it was in heavy foam packaging. Came in perfect condition.SIZE - PERFECT SMALL RADIO for her night stand. MUCH smaller than the 22 inch dimensions it shows in top description! It's small enough for a SMALL nightstand.SET UP - MY mother had no problem setting it up or figuring out knobs. This is as easy as radios from the '60's. Basically a couple knobs and a switch to go back and forth between AM and FMSOUND - I was on the phone with my mother as she dialed through various stations and GREAT sound. She was delighted and said, HEAR THIS!PRICE - CAN'T BEAT THE PRICE!2020-04-080034.9510913.3613681.004788
4Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276181Doesn’t pick up wellWaste of money,,,,, can’t get stations on this radio as clear as others2020-12-250034.958304.3148920.002863
5Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276185Surprise!Surprisingly wonderful little radio. Just what we wanted!!2020-04-100034.9510894.3158970.002755
6Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276184Fair to good receptionVery good portable radio. Great size. Fair to good reception in a difficult reception area.I have tried more expensive radios that didpoorly.2020-05-230034.9510464.3187950.002374
7Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276184Cute LITTLE thing. For local stations only.Works great for background music and local news in home office.Pros:-AC (electric cord) or 4 AA batteries.-VERY portable—it’s small. See photos.-Very simple to use.-Easy to read numbers.-Throwback classic radio look.-Sound from the one speaker is clear — if the station comes in.Cons:-Pulls in local stations (very local) but not half as many as your car radio (those are built to a very robust standard). If your stations are 25+ miles away, you probably won’t get them unless they have a powerful transmitter or you’re in a very good spot for reception.-Just basic mono sound but you shouldn’t be buying this for sound quality anyway.-You might expect something bigger for $292021-03-130134.957524.2674390.048176
8Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276185good purchase!I really like this radio!2021-12-110034.954794.3160150.000983
9Panasonic Portable AM / FM Radio, Battery Operated Analog Radio, AC Powered, Silver (RF-2400D) 22.8 x 7.8 x 10.84.6276185Exactly as picturedDoesn't use much power, perfect for camping, brings in lots of stations.2021-05-040034.957004.3001280.013932
product_nameAverage_ratingNum_of_RatingRatingreview_titleReview_TextPosted_DateHelpfulnesshas_imagespriceDay_elapsedDepthBreadth
100536Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305RuggedVery nice tablet cover, made well and easy to slip your tablet into, would buy again2020-05-130019.9910554.3006100.006849
100537Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Love itiPad air2022-08-110019.992354.3051260.008269
100538Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305BeautifulI am pleased with this iPad cover. It is bulkier than I wanted, but I am overall pleased.2020-11-030019.998814.1789280.064815
100539Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Love!Love this cover. Great quality love the pocket too!2023-03-240019.99104.2964300.006595
100540Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434304I love it!Cover for my iPad. Love the color2021-08-310019.995804.2936250.004972
100541Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Great iPad cover at an economical price!It’s very sturdy & protective! Easy to position for free standing.2022-01-230019.994354.3158020.005317
100542Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Best iPad caseNothing to dislike. Excellent quality, easy to use and good price.2022-06-170019.992904.3162600.007518
100543Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Durable cover for iPad!Love this product. Color is pretty.Easy to hold and prop up.Uses: reading books, playing games, Searching internet.2021-03-010019.997634.3119200.003712
100544Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Worth itQuick shipping. Fits ipad easily. Nice colors.2021-01-190019.998044.3115820.007098
100545Fintie Case for iPad 9.7 2018 2017 / iPad Air 2 / iPad Air 1 - [Corner Protection] Multi-Angle Viewing Folio Cover w/Pocket, Auto Wake/Sleep for iPad 6th / 5th Generation, Ocean Marble4.6434305Great!Sturdy, easy to hold and maneuver, durable2020-06-250019.9910124.3154500.003851

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51byone Amplified HD Digital TV Antenna - Support 4K 1080p and All Older TV's - Indoor Smart Switch Amplifier Signal Booster - Coax HDTV Cable/AC Adapter4.0164535Beautiful picture.Very easy to install. The picture quality was beautiful. Highly recommended.2020-01-160017.9911971.2169971.3004674
36Amazon Basics 3.5mm Aux Jack Audio Extension Cable, Male to Female, Adapter for Headphone or Smartphone, 6 Foot, Black4.6577655Good cordWorks great, as described.2022-05-09006.993774.2828710.0802604
42Amazon Basics 3.5mm Aux Jack Audio Extension Cable, Male to Female, Adapter for Headphone or Smartphone, 6 Foot, Black4.6577655Works as IntendedChord feels a little thin but overall it gets the job done and the audio quality sounds just as good as plugging it directly into the pc (apple earbuds)2022-04-11006.994052.8063941.7646594
83Amazon Basics External Hard Drive Portable Carrying Case4.8746435Muy buen precio/calidadEl case se mira muy bien, resiste te y estético. Mi disco duro cabe perfecto. Buena compra a buen precio.2020-02-290110.9212584.2277320.0592434
199Cable Clips Management - Nightstand Accessories - Cord Organizer - Desk Cable Management - Wire Holder System - Adhesive Cord Clips - Home, Office, Cubicle, Car - Gift Idea - Black4.3209025Easy to useThis product adheres, to any surface type and stays. Just peel the back paper of a press into the area you wish yo gave it. It can hold different size cables2020-10-06008.979124.2548980.0469834
441PROZOR 192KHz Digital to Analog Audio Converter DAC Digital SPDIF Optical to Analog L/R RCA Converter Toslink Optical to 3.5mm Jack Adapter for PS3 HD DVD PS4 Amp Apple TV Home Cinema4.4365375Works Perfectly; Easy InstallWorked as advertised. Couldn't be easier to install.2021-10-250013.855534.1234450.1500254
556Upgraded, Anker Soundcore Boost Bluetooth Speaker with Well-Balanced Sound, BassUp, 12H Playtime, USB-C, IPX7 Waterproof, Wireless Speaker with Customizable EQ via App, Wireless Stereo Pairing4.6286652Good sound, terrible battery performance.Good sound for a speaker this size. However, the battery life is abysmal. After about six months, the batter started dying really quickly. At this point, it won’t even hold a charge. Save your money or get a different brand.2021-03-0900101.008892.4643681.5773684
564Upgraded, Anker Soundcore Boost Bluetooth Speaker with Well-Balanced Sound, BassUp, 12H Playtime, USB-C, IPX7 Waterproof, Wireless Speaker with Customizable EQ via App, Wireless Stereo Pairing4.6286655Nice and loudTakes a while to charge but once charged it lasts for a long time2020-11-1000101.0010082.8323570.8829044
580amFilm Screen Protector for iPad Mini 5/iPad Mini 4, Tempered Glass, 1 Pack4.6198475Customer ServiceI had an issue with the first one received, contacted customer service and they sent a new one no charge. I haveput it on my Ipad mini and I love it. It was so easy to do.2020-02-05006.3612844.1099670.1892564
610iFixit Pro Tech Toolkit - Electronics, Smartphone, Computer & Tablet Repair Kit4.9173185quality productVery good quality, worth the money2022-04-020074.955094.2173860.0535124